Evidence map›Paper›PMID 40108211›Full record

ArticleScientific reports2025

Oculomotor learning is evident during implicit motor sequence learning.

Cristina Rubino, Adam T Harrison, Lara A Boyd

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cristina RubinoGraduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Adam T HarrisonExercise Science, Arnold School of Public Health, University of South Carolina, Columbia, USA.
Lara A BoydGraduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, Vancouver, Canada. lara.boyd@ubc.ca.

Funding

Natural Sciences and Engineering Research Council of Canada PGS-DNatural Sciences and Engineering Research Council of Canada RGPIN-2023-03647
6 · The paper itself

Abstract

Motor sequence learning involves both oculomotor and manual motor systems, yet the role of the oculomotor system in the learning and execution of skilled arm movements remains underexplored. In the current work, the influence of sequence learning on the oculomotor system was investigated by testing 20 healthy adults for 3 days as they practiced an implicit motor learning task, the serial targeting task (STT). The STT contained a repeated sequence, which was interleaved with random sequences. This task was practiced on a KINARM robot that tracked both saccades and reaches. A delayed, 24-h retention test assessed sequence-specific motor learning. Sequence-specific changes across practice and learning were observed for both saccades and reaches; this was demonstrated by faster saccade and arm motor reaction times for the repeated sequence compared to random sequences. Notably, change in the oculomotor system occurred earlier in practice as compared to the manual motor system. Reaches were executed more quickly when led by express saccades (rapid eye movements occurring within 90-120 ms) compared to when they were preceded by regular latency (> 120 ms) saccades early in practice. Our findings highlight distinct yet interconnected functions between oculomotor and manual motor systems associated with implicit motor sequence learning.

Indexed as

Eye MovementsLearningMotor SkillsPsychomotor PerformanceAdultFemaleHumansMaleReaction TimeSaccadesYoung AdultImplicit motor sequence learningMotor skill learningOculomotor learningReachesSaccades

Identifiers

PMID40108211
PMCPMC11923115

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.